danielchristopher513/Crop_Recommendation_Using_Machine_Learning
We propose an Intelligent Crop Recommendation and Yield prediction system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. The Yield is predicted based on the parameters of area of land available, agricultural season and the past observations of yield .
This system helps farmers and agricultural consultants decide which crops to plant and how much they can expect to harvest. By inputting details like soil nutrients (N, P, K), temperature, humidity, pH, rainfall, and location, it recommends suitable crops. It then predicts potential yield based on district, state, season, and crop type, helping in planning and crop selection.
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Use this if you are a farmer or an agricultural consultant looking for data-driven recommendations on crop suitability and advanced yield predictions to optimize your farming decisions.
Not ideal if you need a system that offers real-time crop disease detection or comprehensive irrigation scheduling based on live sensor data.
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Jun 02, 2023
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